Nayanika Mula

About

Most "AI automation" is a glorified Zapier zap. I build the kind that closes the loop: CRM to LLM to action, with or without a human in the loop. I'm a GTM Engineer with a data-engineering backbone. For 5+ years at Capital One I built the data systems behind Card Core, the pipelines and architecture that moved card data at scale.At Datalogz I built the GTM side: CRM integrations, API pipelines, and agentic LLM workflows that turn messy go-to-market data into revenue signal. Over the last 3 months, I built 5 agentic workflows and automated signals and CRM processes, cutting ~10 hours of manual GTM work a week and speeding up enrichment by 50% and increasing visibily into the $1M deal pipeline Throughout the years, I have spent my career moving closer to where data actually changes a decision: from warehouse, to product, to autonomous agents. Right now I'm building agentic systems that connect CRMs (Salesforce/HubSpot/Attio) to LLMs over APIs: the unglamorous plumbing that makes "AI in the GTM stack" real instead of a demo. I want to talk to founders and RevOps/GTM leaders sitting on a full CRM and a team drowning in manual steps. Send me the one GTM workflow eating your team's week and I'll tell you exactly how I'd automate it with agents.

Company history

1. 
   micro1Agentic AI Expert2026-07 – present · 1 mo
2. 
   The University of Texas at Arlington - College of BusinessGraduate Research Assistant2017-12 – 2019-05 · 1y 5mo
3. 
   Capital OneData Engineer2019-09 – 2020-12 · 1y 3mo
4. 
   Alcon LenSx, Inc.Data Analyst for Capstone project2019-01 – 2019-09 · 8 mo
5. 
   DatalogzGTM Engineer2026-04 – 2026-06 · 2 mo
6. 
   DatalogzData Engineer- GTM2025-08 – 2026-04 · 8 mo
7. 
   Capital OneSenior Data Architect- Card Core2024-08 – 2025-06 · 10 mo
8. 
   Capital OneData Engineer2021-01 – 2024-01 · 3y

Skills

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